7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CL2019
Commonsense Knowledge Mining from Pretrained Models
Joshua Feldman, Joe Davison, Alexander M. Rush
Inferring commonsense knowledge is a key challenge in natural language processing, but due to the sparsity of training data, previous work has shown that supervised methods for com…
q-bio.PE2019
What could re-infection tell us about R0? a modeling case-study of syphilis transmission
Joshua Feldman, Sharmistha Mishra
Many infectious diseases can lead to re-infection. We examined the relationship between the prevalence of repeat infection and the basic reproductive number (R0). First we solved a…
cs.SI2019★ 7 cited
High Degree Vertices and Spread of Infections in Spatially Modelled Social Networks
Joshua Feldman, Jeannette Janssen
We examine how the behaviour of high degree vertices in a network affects whether an infection spreads through communities or jumps between them. We study two stochastic susceptibl…